Posts Tagged ‘ teaching ’

In criticism of criticism of criticism

May 6, 2015
By
In criticism of criticism of criticism

I do a lot of criticism. I’m sure you can think of lots of things that I like to criticize, but to keep things simple, let’s focus on graphics criticism, for example this post where I criticized a graph for false parallelism. At this point some people would say that graphics criticism is mean, and […] The post In criticism of criticism of criticism appeared first on Statistical Modeling, Causal…

Read more »

He’s looking for probability puzzles

May 5, 2015
By

Adrian Torchiana writes: I recently created a little probability puzzle app for android, and I was wondering whether you have any suggestions for puzzles that are engaging, approachable to someone who hasn’t taken a probability course, and don’t involve coins or dice. I think my easy puzzles are easy enough, but I’m having trouble thinking […] The post He’s looking for probability puzzles appeared first on Statistical Modeling, Causal Inference,…

Read more »

Which of these classes should he take?

May 2, 2015
By

Jake Humphries writes: I for many years wanted to pursue medicine but after recently completing a master of public health, I caught the statistics bug. I need to complete the usual minimum prerequisites for graduate study in statistics (calculus through multivariable calculus plus linear algebra) but want to take additional math courses as highly competitive […] The post Which of these classes should he take? appeared first on Statistical Modeling,…

Read more »

Why do we communicate probability calculations so poorly, even when we know how to do it better?

April 13, 2015
By

Haynes Goddard writes: I thought to do some reading in psychology on why Bayesian probability seems so counterintuitive, and making it difficult for many to learn and apply. Indeed, that is the finding of considerable research in psychology. It turns out that it is counterintuitive because of the way it is presented, following no doubt […] The post Why do we communicate probability calculations so poorly, even when we know…

Read more »

How can teachers of (large) online classes use text data from online learners?

April 8, 2015
By
How can teachers of (large) online classes use text data from online learners?

Dustin Tingley sends along a recent paper (coauthored with Justin Reich, Jetson Leder-Luis, Margaret Roberts, and Brandon Stewart), which begins: Dealing with the vast quantities of text that students generate in a Massive Open Online Course (MOOC) is a daunting challenge. Computational tools are needed to help instructional teams uncover themes and patterns as MOOC […] The post How can teachers of (large) online classes use text data from online…

Read more »

A rare topical post

April 3, 2015
By

Harvey Motulsky writes: Every year at passover, I struggle to peel two dozen hard boiled eggs and search the web to see if there isn’t a trick to do it better. But all the hits say the same thing: put the eggs in cold water, then bring to a boil. But this guy [J. Kenji […] The post A rare topical post appeared first on Statistical Modeling, Causal Inference, and…

Read more »

Learning to teach statistics, in a MOOC

March 31, 2015
By
Learning to teach statistics, in a MOOC

I am participating in a MOOC, Teaching statistics through data investigations. A MOOC is a fancy name for an online, free, correspondence course.  The letters stand for Massive Open Online Course. I decided to enrol for several reasons. First I … Continue reading →

Read more »

Time-release pedagogy??

March 31, 2015
By
Time-release pedagogy??

Mark Palko points to this report and writes: Putting aside my concerns with the “additional years of learning” metric (and I have a lot of them), I have the feeling that there’s something strange here or i’m missing something obvious. That jump from 3-year impact to 4-year seems excessive. The press release links to a […] The post Time-release pedagogy?? appeared first on Statistical Modeling, Causal Inference, and Social Science.

Read more »

Regression: What’s it all about? [Bayesian and otherwise]

March 29, 2015
By

Regression: What’s it all about? Regression plays three different roles in applied statistics: 1. A specification of the conditional expectation of y given x; 2. A generative model of the world; 3. A method for adjusting data to generalize from sample to population, or to perform causal inferences. We could also include prediction, but I […] The post Regression: What’s it all about? [Bayesian and otherwise] appeared first on Statistical…

Read more »

Define first, prove later

March 25, 2015
By

This post by John Cook features a quote form a book “Calculus on Manifolds,” by Michael Spivak which I think was the textbook for a course I took in college where we learned how to prove Stokes’s theorem, which is something in multivariable calculus involving the divergence and that thing that you get where you […] The post Define first, prove later appeared first on Statistical Modeling, Causal Inference, and…

Read more »


Subscribe

Email:

  Subscribe